Senseye launches virtual sensor feature, expanding customers’ ability to gain more from existing data

Senseye, an industrial software company using AI for machine health management, has announced a new release of Senseye PdM Enterprise, featuring the ability to create virtual sensors from existing data sources.

Data collected from machines are often not ideally suited for AI-driven predictive maintenance. The new feature allows customers to easily configure additional parameters related to machine health, allowing them to get more value from existing data capture.

Virtual sensors appear in the platform just like normal measures - shown on charts and run through the same award-winning analytics engine, helping customers uncover and predict underlying issues.

Example use cases include:

  • Removing noise from data that does not relate to machine condition
  • Filtering particular machine states
  • Normalising data to make it more meaningful when seen by the user
  • Combining sensor data to reveal new information

For some time, Senseye’s PdM Stream offering has been used by Senseye’s condition monitoring specialists to apply pre-processing rules and algorithms to sensor and process data and generate suitable condition monitoring data for more complex predictive maintenance cases without drawing on the resources of a customer’s IT department. The addition of the virtual sensors feature in Senseye PdM Enterprise means the ability to transform data is now in the hands of users on the factory floor.

Robert Russell, CTO at Senseye, comments: “Making Predictive Maintenance available to everyone was a founding principle when Senseye was established.

“Launching virtual sensors is a key part of this. This enhancement of Senseye PdM Enterprise allows our users to take further ownership and control over their predictive maintenance journey.”

Senseye PdM is used globally by some of the world's largest companies in the automotive, food and beverage, consumer packaged goods, and metals & mining sectors. Customers have reduced unplanned downtime by over 50%, streamlined spare parts inventories, and cut maintenance spending by up to 40%

Driven by your in-house expertise, Senseye PdM Enterprise is the leading Predictive Maintenance platform to power your digital transformation. More new features are due to be released over the coming year. Sign up to receive the latest updates from Senseye to hear about them first.

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Niall Sullivan, Senseye, (+44)7916213216,

About Senseye:

Senseye, headquartered in the UK with regional offices in Germany, France, USA, and Japan, is a leading industrial solution company for AI-driven Machine Health Management. Senseye helps global industrial organizations unlock savings through machine health optimization in key industries such as Automotive, Manufacturing, Heavy Industry, and CPG / FMCG.